For me, the millions of people around the world playing Pokémon last weekend (and crashing their servers on a regular basis) showed me a glimpse of the future. There may well be an opportunity for real-time Big Data - I will give you a glimpse.

Real-time machine learning has access to a continuous flow of transactional data, but what it really needs in order to be effective is a continuous flow of labeled transactional data, and accurate labeling introduces latency.

Highlights from the presentations by Gaming Analytics leaders from Activision, Riot Games and Daybreak Game Company (formerly Sony Online Entertainment) on day 2 of Gaming Analytics Innovation Summit 2015 in San Francisco.

We discuss the role of data science at Square, common machine learning use cases, transition to real-time architecture, major challenges, expectations from data science, key qualities for data scientists, and more.

Our survey ahead of Strata 2014 Conference revealed the top 3 trends in Analytics and Big Data for 2014: Analytics for the masses, Apache Spark, and Real Time Analytics. Read the interesting comments and details and get a KDnuggets discount for Strata.